Jul 25 2015
Authentidate Holding Corp., a provider of web-based revenue cycle management applications and telehealth products and services for healthcare organizations was featured this month in an article in Nephrology News & Issues®, a publication that integrates the business and practice of quality kidney care.
The article, Renal Ventures Program to Start Remotely Monitoring Incident Dialysis Patients, written by Rebecca Zumoff, covered the recent announcement that Renal Ventures Management (RVM) would begin remotely monitoring a selection of their dialysis patients using Telehealth Solutions from Authentidate in an effort to decrease hospitalizations and mortality. Each dialysis patient in the program will be enrolled in a specific disease management protocol that will allow case managers to remotely manage and direct patient care.
Authentidate's Telehealth Solution is designed to help patients achieve their goals to get healthy and stay healthy with an easy to use mobile device that captures vital signs, symptoms, and treatment plan compliance in the home and shares the associated data in real time with the patient's care givers via the internet.
George R. Aronoff, MD, Chief Medical Officer of RVM told the publication, "Depending on their co-morbidities, patients may also be supplied with a glucometer, weight scale, BP cuff and oximeter that will record results back to the tablet via Bluetooth and then to a secure clinical portal website hosted by Authentidate. Our case managers and physicians then will access patient information from their PCs by logging on to the clinical portal. The case managers will also be able to interact with patients utilizing a camera on the tablets, if needed. Using remote patient management, we will be able to interact with these patients daily."
Commenting on how patients were being selected he said, "We chose incident patients because, according to USRDS data, they have very high hospitalization and mortality rates."
Aronoff also said they are also considering using the data that they collect to feed advanced decision support tools using predictive analytics to determine who among incident patients are the most at risk for hospitalizations and other adverse events.